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Oral Microbiome of Deep and Shallow Dental Pockets In Chronic Periodontitis

Overview of attention for article published in PLOS ONE, June 2013
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Title
Oral Microbiome of Deep and Shallow Dental Pockets In Chronic Periodontitis
Published in
PLOS ONE, June 2013
DOI 10.1371/journal.pone.0065520
Pubmed ID
Authors

Xiuchun Ge, Rafael Rodriguez, My Trinh, John Gunsolley, Ping Xu

Abstract

We examined the subgingival bacterial biodiversity in untreated chronic periodontitis patients by sequencing 16S rRNA genes. The primary purpose of the study was to compare the oral microbiome in deep (diseased) and shallow (healthy) sites. A secondary purpose was to evaluate the influences of smoking, race and dental caries on this relationship. A total of 88 subjects from two clinics were recruited. Paired subgingival plaque samples were taken from each subject, one from a probing site depth >5 mm (deep site) and the other from a probing site depth ≤3mm (shallow site). A universal primer set was designed to amplify the V4-V6 region for oral microbial 16S rRNA sequences. Differences in genera and species attributable to deep and shallow sites were determined by statistical analysis using a two-part model and false discovery rate. Fifty-one of 170 genera and 200 of 746 species were found significantly different in abundances between shallow and deep sites. Besides previously identified periodontal disease-associated bacterial species, additional species were found markedly changed in diseased sites. Cluster analysis revealed that the microbiome difference between deep and shallow sites was influenced by patient-level effects such as clinic location, race and smoking. The differences between clinic locations may be influenced by racial distribution, in that all of the African Americans subjects were seen at the same clinic. Our results suggested that there were influences from the microbiome for caries and periodontal disease and these influences are independent.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Russia 1 <1%
Brazil 1 <1%
Unknown 163 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 20%
Researcher 26 16%
Student > Master 15 9%
Student > Postgraduate 13 8%
Student > Doctoral Student 11 7%
Other 34 20%
Unknown 34 20%
Readers by discipline Count As %
Medicine and Dentistry 53 32%
Agricultural and Biological Sciences 32 19%
Biochemistry, Genetics and Molecular Biology 20 12%
Immunology and Microbiology 10 6%
Unspecified 3 2%
Other 12 7%
Unknown 36 22%